Hirschberg's algorithm is a dynamic programming approach used for finding the longest common subsequence (LCS) of two sequences. It is particularly notable for its efficiency in terms of space complexity, using only linear space instead of the quadratic space that naive dynamic programming approaches require. ### Overview of the Algorithm: Hirschberg's algorithm is based on the principle of dividing and conquering.
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